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1278. Assessing Statewide HIV Pre-exposure Prophylaxis Implementation Using an All Payer Claims Database

BACKGROUND: Pre-exposure prophylaxis (PrEP) in the form of daily tenofovir disoproxil fumarate (TDF/FTC) is a potentially transformative tool to prevent HIV infection. However, PrEP scale-up in the United States has been slow and difficult to evaluate comprehensively. All payer claims databases (APC...

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Autores principales: Nocka, Kristen, Raifman, Julia, Crowley, Christina, Galárraga, Omar, Wilson, Ira, Tao, Jun, Chan, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808866/
http://dx.doi.org/10.1093/ofid/ofz360.1141
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author Nocka, Kristen
Raifman, Julia
Crowley, Christina
Galárraga, Omar
Wilson, Ira
Tao, Jun
Chan, Philip
Chan, Philip
author_facet Nocka, Kristen
Raifman, Julia
Crowley, Christina
Galárraga, Omar
Wilson, Ira
Tao, Jun
Chan, Philip
Chan, Philip
author_sort Nocka, Kristen
collection PubMed
description BACKGROUND: Pre-exposure prophylaxis (PrEP) in the form of daily tenofovir disoproxil fumarate (TDF/FTC) is a potentially transformative tool to prevent HIV infection. However, PrEP scale-up in the United States has been slow and difficult to evaluate comprehensively. All payer claims databases (APCDs) are large datasets that contain information on medical and pharmaceutical claims from most public and private payers in each state, and provide an unusual opportunity to evaluate statewide PrEP implementation efforts. METHODS: We used 2012–2017 data from Rhode Island’s APCD and developed an algorithm to identify individuals prescribed TDF/FTC for PrEP. We compared APCD PrEP data to electronic medical record (EMR) data at the largest dedicated PrEP program in the state, and to other comprehensive pharmaceutical claims data (AIDSVu.org). We calculated the PrEP-to-Need ratio (PnR) based on annual HIV incidence, and used multivariable logistic regression to predict ZIP code-level PrEP use, and specialty of prescribing provider (primary care vs. infectious disease). RESULTS: The Rhode Island APCD included insurance claims for 917,633 individuals (87% of the Rhode Island population). PrEP use increased substantially in Rhode Island over the 5-year period, from 13 to 331 prescriptions between 2012 and 2017, with 546 total users during this time period. Users were predominantly male (89%) and privately insured (69.1%), and concentrated in Providence County (71.5%). The PnR ratio increased from 0.2 to 4.0 from 2012–2017. Compared with AIDSVu and EMR Data, the APCD underestimated the number of PrEP users in Rhode Island, but improved over time in documenting users. Infectious diseases specialists had 8.4 times the odds (95% CI: 5.4 to 12.9) of being a PrEP prescriber compared with primary care providers. A total of 2.6% of infectious disease specialists were PrEP prescribers compared with 0.33% of PCPs. The proportion of Black or Hispanic individuals in a ZIP-code was not a significant predictor of PrEP use. CONCLUSION: APCDs offer an innovative approach to evaluate statewide PrEP implementation comprehensively. Engaging PCPs in PrEP implementation is critical to improve overall uptake among populations most at-risk. [Image: see text] DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-68088662019-10-28 1278. Assessing Statewide HIV Pre-exposure Prophylaxis Implementation Using an All Payer Claims Database Nocka, Kristen Raifman, Julia Crowley, Christina Galárraga, Omar Wilson, Ira Tao, Jun Chan, Philip Chan, Philip Open Forum Infect Dis Abstracts BACKGROUND: Pre-exposure prophylaxis (PrEP) in the form of daily tenofovir disoproxil fumarate (TDF/FTC) is a potentially transformative tool to prevent HIV infection. However, PrEP scale-up in the United States has been slow and difficult to evaluate comprehensively. All payer claims databases (APCDs) are large datasets that contain information on medical and pharmaceutical claims from most public and private payers in each state, and provide an unusual opportunity to evaluate statewide PrEP implementation efforts. METHODS: We used 2012–2017 data from Rhode Island’s APCD and developed an algorithm to identify individuals prescribed TDF/FTC for PrEP. We compared APCD PrEP data to electronic medical record (EMR) data at the largest dedicated PrEP program in the state, and to other comprehensive pharmaceutical claims data (AIDSVu.org). We calculated the PrEP-to-Need ratio (PnR) based on annual HIV incidence, and used multivariable logistic regression to predict ZIP code-level PrEP use, and specialty of prescribing provider (primary care vs. infectious disease). RESULTS: The Rhode Island APCD included insurance claims for 917,633 individuals (87% of the Rhode Island population). PrEP use increased substantially in Rhode Island over the 5-year period, from 13 to 331 prescriptions between 2012 and 2017, with 546 total users during this time period. Users were predominantly male (89%) and privately insured (69.1%), and concentrated in Providence County (71.5%). The PnR ratio increased from 0.2 to 4.0 from 2012–2017. Compared with AIDSVu and EMR Data, the APCD underestimated the number of PrEP users in Rhode Island, but improved over time in documenting users. Infectious diseases specialists had 8.4 times the odds (95% CI: 5.4 to 12.9) of being a PrEP prescriber compared with primary care providers. A total of 2.6% of infectious disease specialists were PrEP prescribers compared with 0.33% of PCPs. The proportion of Black or Hispanic individuals in a ZIP-code was not a significant predictor of PrEP use. CONCLUSION: APCDs offer an innovative approach to evaluate statewide PrEP implementation comprehensively. Engaging PCPs in PrEP implementation is critical to improve overall uptake among populations most at-risk. [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6808866/ http://dx.doi.org/10.1093/ofid/ofz360.1141 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Nocka, Kristen
Raifman, Julia
Crowley, Christina
Galárraga, Omar
Wilson, Ira
Tao, Jun
Chan, Philip
Chan, Philip
1278. Assessing Statewide HIV Pre-exposure Prophylaxis Implementation Using an All Payer Claims Database
title 1278. Assessing Statewide HIV Pre-exposure Prophylaxis Implementation Using an All Payer Claims Database
title_full 1278. Assessing Statewide HIV Pre-exposure Prophylaxis Implementation Using an All Payer Claims Database
title_fullStr 1278. Assessing Statewide HIV Pre-exposure Prophylaxis Implementation Using an All Payer Claims Database
title_full_unstemmed 1278. Assessing Statewide HIV Pre-exposure Prophylaxis Implementation Using an All Payer Claims Database
title_short 1278. Assessing Statewide HIV Pre-exposure Prophylaxis Implementation Using an All Payer Claims Database
title_sort 1278. assessing statewide hiv pre-exposure prophylaxis implementation using an all payer claims database
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808866/
http://dx.doi.org/10.1093/ofid/ofz360.1141
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